A perceptual evaluation of grating frequencies and velocities in the analysis of dynamic images
Introduction
In the digital era, dynamic images that possess beauty and afford comfort can increase usage efficiency [1]. In addition to information conveyance, dynamic images also act as a communication bridge in the human–machine interface [5]. Dynamic images are used on a major basis in the application of digital media. Therefore, understanding the perceptual effects of dynamic images on viewers in order to meet the requirements of successful digital design communication is a very important issue [2]. To effectively control the quality of dynamic icons, not only clear identification, but also aesthetic factors, such as pleasure in particular, are taken into account [3], [14]. Due to the impact of a digital life on the present age, liquid crystal displays (LCD) have become more widely available in our daily life. The reason for the increasing popularity of the LCD is its capacity to display complex dynamic images and transfer messages through its portability and delicate interface. Examples include TV videos, motion pictures, web browses, and others. The research exploring evaluation methods for image quality has, therefore, received increased emphasis. In the past, evaluations of image quality mainly focused on physical methods such as measurement machines to obtain objective data. Unlike perceptual evaluation methods that account for the psychological mechanisms involved, these evaluation methods tend to disregard them. Consequently, establishing a standardized evaluation method characterized by an evaluation pattern that takes account of both the human eye and the machine has become a significantly valuable research subject. As numerous digitalized dynamic images must be transmitted via LCD, the current study suggests that synchronized and advanced knowledge of media technology with respect to dynamic images display is necessary in the fields of multimedia design and visual communication design in order to demonstrate that visual design is able to offer improved quality control. In light of the essentiality of establishing and applying a perceptual evaluation method to dynamic images, the current study adopted a perceptual evaluation method and applied it to image output frequencies. Verification tests were conducted using the parameters gained from the evaluation results and high-speed photography. The pair-comparison method and scale method were adopted in the research methodology. The purpose of this study was: (1) To propose a perceptual evaluation method and make recommendations for displaying dynamic images and improving image performance. (2) To examine the influence of psychological factors with respect to dynamic images and the viewer’s comfort. (3) To identify the best grating feature combinations that allow for optimal performance of the viewer’s psychological characteristics and to propose recommendations towards dynamic images design.
Section snippets
Method for data analysis methods and evaluation
With reference to the relevant research on aesthetic surveys of visual designs and methods for analyzing obtained data, Chen and Guan [2] implemented the “AIR (aesthetic information ratio)” concept to explore the aesthetic evoking (AE) level of dynamic images. Their results revealed that initial verification of the aesthetics of dynamic images was obtained through “positive and negative information”. Hung and Guan [15] investigated the relationship between the emotional imagery of advertising
Perceptual evaluation method
The current study started with an expert consultation conference to estimate the pros and cons as well as the effectiveness of perceptual evaluation methods extracted from the literature review. Three experts participated in the “expert conference”. One of them has more than ten years of experience in design and is specialized in the use of perceptual evaluation methods in the field of applied engineering. Another is serving as an instructor at a college and has eight years of experiences in
Analysis of visual acuity
The results of the perceptual evaluation in terms of visual acuity indicated the smallest difference between “clear and blurred” at a grating of 1.5 (visual acuity = 0.534), whereas grating 7.5 (visual acuity = 0.179) represented the greatest difference. Echoing the results from the perceptual evaluation, the results of the physical measurement of MTF values revealed that grating 1.5 (MTF = 0.795) had the highest imaging quality whilegrating 12.5 (MTF = 0.250) had the least quality (see Table 2).
Analysis of visual acceptance
With
Differences in grating frequencies and grating velocities in viewer’s psychology
Defining relevant perceptual evaluation variables, that is visual acuity, visual acceptance, visual attention, and visual clarity, to verify physical measurement results of machines was the original purpose of the current study. The results pointed close relationships between the perceptual evaluation results and grating frequency as well as the grating velocity. At the first stage of the experiment, applying ten different grating frequencies, the results exhibited that with the same
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2021, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)